monopoly
发表于 2025-3-30 11:17:09
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易受骗
发表于 2025-3-30 13:23:36
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capsule
发表于 2025-3-30 20:01:00
Assessment of Forest Health using Remote Sensing—A Case Study of Simlipal National Park, Odisha (Ind national park. NDVI index showed the maximum accuracy for identifying vegetation classes. Results showed in the eastern and central part of the study area having excellent vegetation cover. Good to moderate vegetation cover areas are observed in the south and small pockets in north of the study are
Blasphemy
发表于 2025-3-31 00:45:50
Forest Health Monitoring using Hyperspectral Remote Sensing Techniquesr methods. Also, it was found that the hyperspectral data based forest health classification gave a higher accuracy than multispectral data. Finally, forest health results were justified by ground tree spectral data. This work provides an effective guideline for forest planning and management.
Offstage
发表于 2025-3-31 02:29:30
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因无茶而冷淡
发表于 2025-3-31 08:09:09
Forest Fire Risk Assessment for Effective Geoenvironmental Planning and Management using Geospatial(FR) models in a GIS framework. The results from AHP and FR models shown similar trends. The AHP model was significantly higher accuracy than the FR model. AHP and FR models based FHR maps were classified into five classes (very low, low, moderate, high, and very high). According to the generated F
药物
发表于 2025-3-31 09:13:43
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网络添麻烦
发表于 2025-3-31 13:32:28
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树胶
发表于 2025-3-31 18:41:43
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慢慢流出
发表于 2025-4-1 01:34:14
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